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The role involves owning end-to-end coding data projects to teach frontier AI models how to code. This includes designing agentic training workflows, evaluation rubrics, and technical environments that mirror real-world software engineering.
Lead customer-centric product development by identifying pain points and delivering impactful solutions. Establish scalable systems and processes to enhance customer support and value delivery in collaboration with engineering teams.
The role involves overseeing the end-to-end product operations cycle to ensure the efficient delivery of features and customer solutions. It requires collaborating with product and engineering teams to align operational processes with product goals and optimizing key performance metrics.
Design and architect end-to-end systems for collecting, structuring, and delivering human data to train frontier AI models. Collaborate with engineering and product teams to optimize data pipelines and ensure high-quality training signals for SFT and RL.
Lead initiatives to establish scalable systems and processes that enhance customer support and value delivery. Coordinate with engineering and operations teams to drive the execution of complex, cross-functional projects.
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Lead initiatives to improve products and customer value by coordinating between engineering and operations teams. Establish scalable systems and repeatable processes to drive efficient cross-functional project delivery.
Oversee the end-to-end product operations cycle to ensure the efficient delivery of features and customer solutions. Collaborate with engineering and product teams to optimize operational processes and track key performance metrics.
Manage key accounts as a trusted advisor to ensure customer success and the delivery of high-quality AI data projects. Lead cross-functional collaboration between engineering and operations teams to meet client SLAs and goals.
Lead initiatives to enhance customer support and value delivery by establishing scalable systems and processes. Coordinate with engineering and operations teams to drive the execution of complex, cross-functional projects.
Lead end-to-end red-teaming workstreams against frontier models by scoping threat models and designing adversarial campaigns. Establish a recurring red-team cadence and produce executive reports to distill severity and user harm.
Own end-to-end coding data projects to train frontier AI models, designing agentic workflows and evaluation schemes. Collaborate with clients and internal teams to build technical environments and rubrics that reflect real-world software engineering.
Design and govern simulated environments and modular frameworks for RL agents to learn and be stress-tested. Establish quality standards for data, reward structures, and telemetry to ensure stable and scalable training signals.
Lead the end-to-end lifecycle marketing strategy for the contributor workforce, focusing on onboarding, engagement, and reactivation. Drive growth through experimentation across paid channels and optimize email programs using a UX-informed design approach.
Lead cross-functional initiatives to build scalable systems and processes that enhance customer value delivery. Coordinate between engineering and operations teams to drive the execution of complex projects and manage timelines.
Lead the direction and execution of critical products supporting advanced AI training and RLHF processes. Develop innovative solutions for annotation efficiency, data exploration interfaces, and large-scale data processing systems.
The role involves owning end-to-end growth initiatives focusing on the acquisition, reactivation, and retention of specialized contributor pools. You will drive platform engagement through experimentation and lead the strategy for acquiring skilled workers across various channels.
Manage end-to-end data operations to ensure efficient collection, processing, and delivery of data for AI model training. Collaborate with engineering and product teams to optimize data pipelines and establish quality metrics.
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Design and build core fullstack systems and backend architecture to power the Surge platform. Create scalable tools for data collection, labeling, and evaluation used by leading AI labs.
The role involves embedding with AI labs to evaluate model behavior and design interventions to improve reliability at scale. You will build data pipelines and fine-tuning workflows to address failure modes in complex reasoning and tool use.
The role involves designing high-impact datasets and collection strategies to shape the behavior and performance of frontier LLMs. You will develop frameworks to evaluate dataset quality and optimize annotator behavior to improve model alignment and safety.
Lead the design, implementation, and delivery of scalable software solutions and complex engineering initiatives. Partner with Architecture, Product, and DevOps teams to ensure operational excellence and high-performing system architecture.
This is a talent pipeline for future roles focused on driving growth through data-driven experimentation and digital experiences. Candidates will be considered for various roles in marketing, analytics, and development as client demand increases.
Lead the strategic design and administration of global compensation, benefits, and recognition programs to attract and retain top talent. Act as the chief architect of the employee value proposition and provide strategic counsel to senior leadership on reward trends.
Manage the systems, integrations, and customer data that power personalized lifecycle marketing campaigns across email and SMS. Partner with Marketing, Engineering, and Data teams to ensure accurate data flow and optimize the customer journey.
Build and scale Supabase's integration partner ecosystem, focusing on AI builders and developer tooling. Drive measurable adoption, pipeline, and revenue through joint GTM motions and technical integrations.
The SVP of Engineering provides technical oversight across mechanical, electrical, and controls disciplines for Riot Data Centers. This role is responsible for establishing engineering standards, managing technical talent, and ensuring design integrity across the capital portfolio.
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The MES Engineer is responsible for configuring GrayMatter software and hardware to meet client needs and implementing solutions for customer issues. Duties include consulting with end users, assisting in project planning, and performing onsite commissioning and demos.
Own the operational and technical backbone of the partnerships organization, including the tech stack, attribution models, and internal automation. Drive strategic decision-making by translating operational data into recommendations for partner segmentation and tiering.
Own the end-to-end lifecycle of the Vault, managing everything from item ingest and internal workflows to international shipping and outtake. Focus on reducing time-to-liquidity by implementing AI-driven automation and professionalizing operational tooling.
Responsible for implementing and maintaining billing plans, funding systems, and payer contract configurations to support the billing department. The role involves troubleshooting system application issues and validating that claims are paid according to contractual obligations.
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